15 beste Stellen als python in schleswig holstein – aktuell auf Personalsuche

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INFUSE —Schleswig-Holstein
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Dräger Safety AG & Co. KGaA —Lübeck
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Bartels-Langness Handelsgesellschaft mbH & Co. KG —Kiel
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Data Integration & API Engineer m/w/d - Bi & Data Automation
loyos bi GmbH —Lübeck
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Postdoctoral Position (m/f/d) Machine Learning for the Acceleration of Simulations

UKSH Service Stern Nord -
Kiel

Jetzt bewerben

Details zur Stelle

Teilzeit | Vollzeit
vor 21 Stunden

Leistungen

Flexible Arbeitszeiten

Qualifikationen

TensorFlow
Doktorat
Informatik
Angewandte Mathematik
Machine Learning
Python

Vollständige Stellenbeschreibung

Precision Vascular Research Group

Department of Radiology and Neuroradiology

Project: STRIVE – Simulation-based TRIals for Vascular trEatment

About the project

Cardiovascular diseases remain the leading cause of death worldwide, yet current clinical approval for disease treatment, especially for novel implants, relies on population-based studies that overlook individual patient variability. In silico trials — computer-based simulations of clinical scenarios — offer a powerful alternative: by creating digital twins of patients and implants, treatment outcomes can be tested rapidly and safely, without invasive procedures or large-scale clinical studies.

STRIVE aims to develop a regulatory-aligned computational framework for personalized vascular interventions, with an initial focus on intracranial aneurysms. The project combines advanced simulation methods, experimental validation, and close collaboration with clinicians and industry partners, ultimately enabling faster implant development, safer preoperative planning, and a meaningful reduction in the number of animal and human trials. As part of a young interdisciplinary team, you will contribute directly to building this framework and shaping the medicine of tomorrow.

Start in our team

We are looking for professional and competent support to start as soon as possible, limited for 4 years.

What we offer:

The salary will be based on the German E13 TV-L scale (100%), if terms and conditions under collective bargaining law are fulfilled

A full-time employment, currently 38.5 hours/week; a part-time employment may be possible within the framework of certain working time models
Flexible working hours to accommodate individual needs
Interdisciplinary research at the intersection of medicine, physics, engineering, and computer science
A vibrant, international biomedical research group embedded within a university hospital setting

Your tasks:

Develop data-driven surrogate models to replace computationally expensive physics-based simulations for aneurysm treatment, namely, computational fluid dynamics (CFD) and finite element modeling (FEM), enabling rapid, on-demand simulation of patient-specific treatment scenarios
Design and implement machine learning (ML) pipelines using full-fidelity CFD and FEM data, ensuring models generalize across patient geometries and device configurations
Integrate trained surrogate models into the broader in silico trial framework and evaluate their accuracy, robustness, and computational efficiency against full-fidelity simulations
Explore AI-based methods for treatment outcome prediction and device optimization, contributing to the framework's clinical decision-support capabilities
Collaborate closely with clinicians, scientists, and engineers to develop and validate cutting-edge simulation techniques
Lead and co-author scientific publications, and represent the project at international conferences

Your profile:

PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field with a strong computational focus
Strong practical experience in machine learning for scientific applications — including surrogate modeling, reduced-order models (ROM), or physics-informed machine learning (PIML/PINNs) — is the core technical foundation of the role
Proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow, JAX) is essential
Familiarity with CFD, FEM, or other numerical simulation methods is a significant advantage
Experience with high-performance computing (HPC) environments is beneficial

Please submit a motivation letter and CV, including, where applicable, degree certificates and job references, as a single PDF until 22. June 2026, indicating the reference number 28652.

For questions about the role, please contact the project leader, Dr.-Ing. Mariya Pravdivtseva at [email protected].

Campus Kiel

Veröffentlicht am: 08.06.2026

Standort: Kiel, Schleswig-Holstein, DE, 24105

Ausschreibungsnummer: 28652

Haben Sie Fragen?

Ihr Kontakt zu uns: Mariya Pravdivtseva # 0431 - 500 16533

Recruiter: Jessica Puton # 0431 500-11191 # https://rmkcdn.su

Benefits am UKSH

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Postdoctoral Position (m/f/d) Machine Learning for the Acceleration of Simulations

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